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Senior Data Scientist, Marketing

LoomFull-time$100k - $260k*Remote; United StatesJul 25, 2023

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Loom is the video communication platform for async work that helps companies communicate better at scale. Loom makes it easy to record quick videos of your screen and camera and instantly share them with a link. More than 20M users across 350k+ companies around the world trust Loom to share feedback, updates, intros, training, and more – every day. Founded in late 2015, Loom has raised $203M from world-class investors including Andreessen Horowitz, Sequoia, Kleiner Perkins, Iconiq, and Coatue.

The Role

As a Senior Data Scientist on the Loom data team, you’ll help drive highly influential projects, related to measurement, marketing acquisition, expansion and customer engagement. You will work closely with the executive team as your role will be crucial in helping Loom drive revenue and business growth.

You will play a crucial role in developing data models, dashboards and deep analyses that will help drive growth, optimize marketing campaigns and provide valuable and actionable insights into user journeys, behaviors and experiences. You will have the opportunity to help build Marketing data from ground up and own your work from end to end - from prototype and ad-hoc analyses, to productionalization of data models and ETLs, to providing recommendations that will help shape the overall roadmap.

Responsibilities

  • Be a primary partner for the Marketing team and collaborate with Marketing, Data Engineering and Software Engineering to understand growth and optimization opportunities and measure impact of Marketing initiatives
  • Help build Marketing data foundations from ground up and lead building Marketing focused datasets that are scalable and can be leveraged across the business
  • Develop advanced data models to optimize marketing campaigns, targeting, and segmentation.
  • Provide data insights across digital marketing channels through dashboards, user behavior analyses and ad-hoc requests
  • Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
  • Proactively derive data insights and turn them into Marketing recommendations, communicate results and learnings to the rest of the team
  • Inform initiatives and roadmaps by performing exploratory analysis to understand user acquisition behavior
  • Provide both quick ad-hoc analyses that help drive day to day short-term decisions as well as more in depth and packaged insights that help drive overall long-term business strategy

What We're Looking For

  • Be a primary partner for the Marketing team and collaborate with Marketing, Data Engineering and Software Engineering to understand growth and optimization opportunities and measure impact of Marketing initiatives
  • Help build Marketing data foundations from ground up and lead building Marketing focused datasets that are scalable and can be leveraged across the business
  • Develop advanced data models to optimize marketing campaigns, targeting, and segmentation.
  • Provide data insights across digital marketing channels through dashboards, user behavior analyses and ad-hoc requests
  • Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
  • Proactively derive data insights and turn them into Marketing recommendations, communicate results and learnings to the rest of the team
  • Inform initiatives and roadmaps by performing exploratory analysis to understand user acquisition behavior
  • Provide both quick ad-hoc analyses that help drive day to day short-term decisions as well as more in depth and packaged insights that help drive overall long-term business strategy

What We're Looking For

  • 5+ years of experience in an analytics role turning data into insights and recommendations
  • Strong analytical and communication skills with the ability to synthesize insights into compelling stories
  • Experience with the SaaS customer lifecycle from acquisition to retention
  • Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
  • Experience with a Business Intelligence tool (e.g. Tableau or Hex)
  • Experience with a statistical scripting language (e.g. R or Python) is a plus
  • Experience with ETL tools such as Airflow or DBT is a plus
  • Experience in data modeling and ETL development is a plus
  • Experience building pipelines connecting integrations like Facebook, Google, Twitter, etc… is a plus
  • Proficiency at Google Analytics and other common marketing tools is a plus
  • Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights
  • A Bachelor’s Degree in a quantitative field or higher

 

 

Perks at Loom

  • Competitive compensation and equity package
  • Comprehensive medical, dental, and vision coverage for employees and dependents (for US employees)
  • 14 paid company holidays plus Summer Break in July and Winter Break in December
  • Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
  • Healthcare reimbursement (for International employees)
  • Life, AD&D, Short and Long Term Disability Insurance
  • 401(k) with 4% company matching
  • Wellness stipends
  • Flexible PTO
  • Paid parental leave
  • Remote work opportunities
  • Professional development reimbursement
  • Home office & technology reimbursement

 

How We Work

Freedom and Flexibility: At Loom, we believe work is an act, not a place. When we disengage work from a location, we can accommodate a broad range of life choices. You can choose to work from home or while you travel. We are able to hire across the United States and are continuing to expand our international presence. And you are free to move within a country without any adjustment to compensation.
 
Engaging Workday: The key to an engaging workday is finding the right balance between different ways to work sync, async, text and video. Loom makes it easier for us to say what we mean without having to schedule a zoom meeting or struggle to find the right words. And using async communication allows us to free up time for deep work every day. We believe there's a place for sync time - often a conversation on Zoom is exactly what is needed.
 
Work-Rest Balance: The way we balance the fast-paced demands of a high-growth startup and sustainability is making rest a priority. We offer a flexible PTO policy so you're able to take time off when you need it. We also go fully offline  for Summer Break around 4th of July and between Christmas and New Years. Rest is also part of the workday, not just during PTO. Taking a break for personal commitments, whether it's watching the kids or getting some exercise is a natural part of the workday.
 
Social Connection: Relationships and connectedness matter. We are intentional about building trust and relationships through unique, shared experiences. Our virtual workspace keeps us connected day-to-day whether it's through Looms celebrating wins or our buzzing Slack communities. Loommates are able to meet in person with their teams at least twice a year purely for fun. We have also built local offices for those who want to work or meet in person, starting with San Francisco and New York City.
 

Loom = Equal Opportunity Employer

We are actively seeking to create a diverse work environment because teams are stronger with different perspectives and experiences.
 
We value a diverse workplace and encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Loom are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
 
To learn more about how Loom collects and uses your personal information during the application process, please see the Loom Candidate Privacy Notice.
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